Deep In memory Architectures for Machine Learning

[Prohibitive]

English | ISBN: 3030359700 | 2020 | 174 pages | PDF | 12 MB

This book describes the recent innovation of deep in-memory architectures for realizing AI systems that operate at the edge of energy-latency-accuracy trade-offs. From first principles to lab prototypes, this book provides a comprehensive view of this emerging topic for both the practicing engineer in industry and the researcher in academia. The book is a journey into the exciting world of AI systems in hardware.

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